While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …

Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …

Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

Statistical learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying distributional properties of the input. However …

Considerable research indicates that learners are sensitive to probabilistic structure in
laboratory studies of artificial language learning. However, the artificial and simplified nature …

The ability to automatically and implicitly detect complex and noisy regularities in the
environment is a fundamental aspect of human cognition. Despite considerable interest in …

The visual environment contains massive amounts of information involving the relations
between objects in space and time, and recent studies of visual statistical learning (VSL) …

The domain-general learning mechanisms elicited in incidental learning situations are of
potential interest in many research fields, including language acquisition, object knowledge …

Knowledge about regularities in the environment can be used to facilitate perception,
memory, and language acquisition. Given this usefulness, we hypothesized that statistically …

Our environment contains regularities distributed in space and time that can be detected by
way of statistical learning. This unsupervised learning occurs without intent or awareness …